Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond). 2008;32(9):1431–7.

Article  PubMed  CAS  Google Scholar 

Powell-Wiley TM, Poirier P, Burke LE, Després JP, Gordon-Larsen P, Lavie CJ, et al. Obesity and cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2021;143(21):e984–1010.

Article  PubMed  PubMed Central  Google Scholar 

Hildebrandt X, Ibrahim M, Peltzer N. Cell death and inflammation during obesity: “Know my methods, WAT(son).” Cell Death Differ. 2023;30(2):279–92.

Article  PubMed  CAS  Google Scholar 

Van Gaal LF, Mertens IL, De Block CE. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444(7121):875–80.

Article  PubMed  Google Scholar 

Kan Y, Liu L, Li X, Pang J, Bi Y, Zhang L, et al. Association between distinct body mass index trajectories according to the group-based trajectory modeling and the risk of incident diabetes: a systematic review. Obes Rev. 2022;23(12):e13508.

Article  PubMed  Google Scholar 

Sun J, Xi B, Yang L, Zhao M, Juonala M, Magnussen CG. Weight change from childhood to adulthood and cardiovascular risk factors and outcomes in adulthood: a systematic review of the literature. Obes Rev. 2021;22(3):e13138.

Article  PubMed  Google Scholar 

Tan L, Long LZ, Ma XC, Yang WW, Liao FF, Peng YX, et al. Association of body mass index trajectory and hypertension risk: a systematic review of cohort studies and network meta-analysis of 89,094 participants. Front Cardiovasc Med. 2022;9:941341.

Article  PubMed  Google Scholar 

Wang Y, Wan EYF, Mak IL, Ho MK, Chin WY, Yu EYT, et al. The association between trajectories of risk factors and risk of cardiovascular disease or mortality among patients with diabetes or hypertension: a systematic review. PLoS One. 2022;17(1):e0262885.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Hanvey AN, Mensah FK, Clifford SA, Wake M. Adolescent cardiovascular functional and structural outcomes of growth trajectories from infancy: prospective community-based study. Child Obes. 2017;13(2):154–63.

Article  PubMed  Google Scholar 

Kim UJ, Choi EJ, Park H, Lee HA, Park B, Min J, et al. BMI trajectory and inflammatory effects on metabolic syndrome in adolescents. Pediatr Res. 2023;94(1):153–60.

Article  PubMed  Google Scholar 

Aris IM, Chen LW, Tint MT, Pang WW, Soh SE, Saw SM, et al. Body mass index trajectories in the first two years and subsequent childhood cardio-metabolic outcomes: a prospective multi-ethnic Asian cohort study. Sci Rep. 2017;7(1):8424.

Article  PubMed  PubMed Central  Google Scholar 

Ford ND, Martorell R, Mehta NK, Perrine CG, Ramirez-Zea M, Stein AD. Lifecourse body mass index trajectories and cardio-metabolic disease risk in Guatemalan adults. PLoS One. 2020;15(10):e0240904.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Huang RC, de Klerk NH, Smith A, Kendall GE, Landau LI, Mori TA, et al. Lifecourse childhood adiposity trajectories associated with adolescent insulin resistance. Diabetes Care. 2011;34(4):1019–25.

Article  PubMed  PubMed Central  Google Scholar 

Blond K, Aarestrup J, Vistisen D, Bjerregaard LG, Jensen GB, Petersen J, et al. Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood. Atherosclerosis. 2020;314:10–7.

Article  PubMed  CAS  Google Scholar 

Blond K, Vistisen D, Aarestrup J, Bjerregaard LG, Hudda MT, Tjønneland A, et al. Body mass index trajectories in childhood and incidence rates of type 2 diabetes and coronary heart disease in adulthood: a cohort study. Diabetes Res Clin Pract. 2022;191:110055.

Article  PubMed  Google Scholar 

Buscot MJ, Thomson RJ, Juonala M, Sabin MA, Burgner DP, Lehtimaki T, et al. Distinct child-to-adult body mass index trajectories are associated with different levels of adult cardiometabolic risk. Eur Heart J. 2018;39(24):2263–70.

Article  PubMed  Google Scholar 

Wang G, Hallberg J, Faner R, Koefoed HJ, Kebede Merid S, Klevebro S, et al. Plasticity of individual lung function states from childhood to adulthood. Am J Respir Crit Care Med. 2023;207(4):406–15.

Article  PubMed  CAS  Google Scholar 

Ekstrom S, Magnusson J, Kull I, Andersson N, Bottai M, Besharat Pour M, et al. Body mass index development and asthma throughout childhood. Am J Epidemiol. 2017;186(2):255–63.

Article  PubMed  PubMed Central  Google Scholar 

Group WHOMGRS. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76–85.

Google Scholar 

de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.

Article  PubMed  PubMed Central  Google Scholar 

Cnattingius S, Kallen K, Sandstrom A, Rydberg H, Mansson H, Stephansson O, et al. The Swedish medical birth register during five decades: documentation of the content and quality of the register. Eur J Epidemiol. 2023;38(1):109–20.

Article  PubMed  PubMed Central  Google Scholar 

Juonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011;365(20):1876–85.

Article  PubMed  CAS  Google Scholar 

Sherwani SI, Khan HA, Ekhzaimy A, Masood A, Sakharkar MK. Significance of HbA1c test in diagnosis and prognosis of diabetic patients. Biomark Insights. 2016;11:11.

Article  Google Scholar 

Vehtari A, Gelman A, Gabry J. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat Comput. 2017;27:1413–32.

Article  Google Scholar 

Proust-Lima C, Philipps V, Liquet B. Estimation of extended mixed models using latent classes and latent processes: the R package lcmm. J Stat Softw. 2015;78(2):1–56.

Peterson RA. Finding optimal normalizing transformations via bestNormalize. R J. 2021;13(1):310–29.

Article  Google Scholar 

McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies. Biometrics. 2020;76(4):1262–72.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol). 1995;57(1):289–300.

Article  Google Scholar 

Carrasco-Zanini J, Wheeler E, Uluvar B, Kerrison N, Koprulu M, Wareham NJ, et al. Mapping biological influences on the human plasma proteome beyond the genome. Nat Metab. 2024;6:2010–23.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Perez M, Winstone LK, Hernández JC, Curci SG, McNeish D, Luecken LJ. Association of BMI trajectories with cardiometabolic risk among low-income Mexican American children. Pediatr Res. 2023;93(5):1233–38. https://doi.org/10.1038/s41390-022-02250-1.

Montazeri P, Fossati S, Clemente DBP, Cirugeda L, Elosua R, Fernández-Barrés S, Fochs S, Garcia-Esteban R, Marquez S, Pey N, Nawrot TS, Vrijheid M. Early-childhood BMI trajectories in relation to preclinical cardiovascular measurements in adolescence. J Dev Orig Health Dis. 2022;13(3):322–9. https://doi.org/10.1017/S2040174421000441.

Liu M, Lycett K, Wong TY, Kerr JA, He M, Juonala M, Olds T, Dwyer T, Burgner D, Wake M. Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11-12 year olds and midlife adults? Int J Obes (Lond). 2020;44(8):1712-22. https://doi.org/10.1038/s41366-020-0584-9.

Barraclough JY, Garden FL, Toelle BG, Marks GB, Baur LA, Ayer JG, Celermajer DS. Weight Gain Trajectories from Birth to Adolescence and Cardiometabolic Status in Adolescence. J Pediatr. 2019;208:89–95.e4. https://doi.org/10.1016/j.jpeds.2018.12.034.

Huang RC, de Klerk NH, Smith A, Kendall GE, Landau LI, Mori TA, Newnham JP, Stanley FJ, Oddy WH, Hands B, Beilin LJ. Lifecourse childhood adiposity trajectories associated with adolescent insulin resistance. Diabetes Care. 2011;34(4):1019–25. https://doi.org/10.2337/dc10-1809.

Li X, Keown-Stoneman CDG, Lebovic G, Omand JA, Adeli K, Hamilton JK, Hanley AJ, Mamdani M, McCrindle BW, Sievenpiper JL, Tremblay MS, Maguire JL, Parkin PC, Birken CS; TARGet Kids! Collaboration. The association between body mass index trajectories and cardiometabolic risk in young children. Pediatr Obes. 2020;15(8):e12633. https://doi.org/10.1111/ijpo.12633.

Wibaek R, Vistisen D, Girma T, Admassu B, Abera M, Abdissa A, Mudie K, Kæstel P, Jørgensen ME, Wells JCK, Michaelsen KF, Friis H, Andersen GS. Body mass index trajectories in early childhood in relation to cardiometabolic risk profile and body composition at 5 years of age. Am J Clin Nutr. 2019;110(5):1175–85. https://doi.org/10.1093/ajcn/nqz170.

de Brito JN, Pereira MA, Kelly AS, Erickson DJ, Sherwood NE, Mason SM, et al. Body Mass Index Trajectories and Biomarkers of Cardiometabolic Risk in Children from Low-Income and Racially and Ethnically Diverse Households. Child Obes. 2024;20(4):243–53.

Ge WX, Han D, Ding ZY, Yi LP, Yang ZQ, Wang XN, Xiao Y, Liang F, Hai B, Lv HL, Shen H, Yang HB, Yin JY, Hu J. Pediatric body mass index trajectories and the risk of hypertension among adolescents in China: a retrospective cohort study. World J Pediatr. 2023;19(1):76–86. https://doi.org/10.1007/s12519-022-00626-1.

Wang X, Hu J, Huang S, Yang Z, Dong Y, Dong B, et al. Exploring overweight risk trajectories during childhood and their associations with elevated blood pressure at late adolescence: a retrospective cohort study. Hypertension. 2022;79(8):1605–13.

Article  PubMed  CAS  Google Scholar 

Beales D, Beynon A, Jacques A, Smith A, Cicuttini F, Straker L. Insight into the longitudinal relationship between chronic subclinical inflammation and obesity from adolescence to early adulthood: a dual trajectory analysis. Inflamm Res. 2021;70(7):799–809. https://doi.org/10.1